13344 results for ""60+mice"+"6+weeks"+diet+study+2014+2017+DOI"

in 11.70 milliseconds.

• HELIUS cohort

  The gut microbiota composition is unique to every individual but is shaped by common factors including diet, lifestyle, medication use, early-life determinants, living environment or genetics. Most of these factors may be influenced by ethnicity. This study explored variations in fecal microbiota composition in 6048 individuals with different ethnic backgrounds living in the same geographical area (Amsterdam, the Netherlands). The HELIUS data are owned by the Amsterdam University Medical Centers, location AMC in Amsterdam, The Netherlands. To allow sharing of microbiome data collected in HELIUS with (inter)national researchers, 16s rRNA sequence analysis has been stored at the European genome-phenome archive (EGA; accession code EGAD00001004106). This requires that access needs to be granted, also because the HELIUS data are stored with relevant phenotypical variables. Access is granted to all researchers affiliated with an internationally recognized research institution who request to use the HELIUS data within the EGA context, after having signed the data transfer agreement. Any researcher can request the data by submitting a proposal to the HELIUS Executive Board as outlined at http://www.heliusstudy.nl/en/researchers/collaboration, by email: heliuscoordinator at amsterdamumc dot nl. The HELIUS Executive Board will check proposals if they do not conflict with ethical approvals and informed consent forms of the HELIUS study.

  Study EGAS00001002969

• Genetics of 24 hour urine composition

  Genetic and environmental factors play an important role in the etiology of nephrolithiasis. This project will build on and extend our previous efforts (examining environmental risk factors for stone formation) by allowing us to study the risk of stone formation associated with specific genes and gene-environment interactions. We will take advantage of previously collected data in three large cohort studies: Nurses' Health Study I (n=121,000 women), Nurses' Health Study II (n=116,000 women), and Health Professionals Follow-up Study (n=51,000 men). Over a period of 17 to 26 years, information has been collected prospectively on important exposures including diet, family history, body size measures, past medical history, and medications. We have confirmed over 2000 incident cases of kidney stones in each cohort (DK59583, PI Curhan). Further, we have collected 24-hour urine samples from over 4100 stone formers and non-stone formers; the majority of participants have performed two collections. The primary objective of this project is to examine the association between single nucleotide polymorphisms and the 24-hour urinary excretion of stone promoters (calcium and oxalate) and a stone inhibitor (citrate). The secondary objective is to explore the impact of interactions between the genetic factors and dietary factors on 24-hour urinary excretion of relevant lithogenic factors. These findings should provide new insight into regulation of these important factors and also into novel approaches for prevention of stone formation.

  Study phs000460

• Cambridge Neoadjuvant Cancer of the Prostate (CANCAP03): A Window Study into the Effects of Olaparib ± Degarelix in Primary Prostate Cancer.

  Study: Cambridge Neoadjuvant Cancer of the Prostate (CANCAP03): A Window Study into the Effects of Olaparib ± Degarelix in Primary Prostate Cancer. EudraCT Number: 2014-004417-86 Clinicaltrials.gov Number: NCT02324998 Purpose: Investigate combined PARP and androgen inhibition in primary prostate cancer. Aim: To understand the biological mechanism(s) underlying clinical efficacy, especially in the absence of mutations in homologous recombination (HR) repair pathways. Dataset: Single-nuclear RNA sequencing data from post-treatment radical prostatectomy tissue cores for six patients, 3 from each of olaparib and olaparib and degarelix cohorts. Samples were processed for nuclear isolation and extraction, prior to single-nuclear RNA sequencing. 10x libraries were constructed using the 10x supplied protocol, briefly: individual nuclei were trapped into droplets with a single bead, and poly A transcripts were barcoded during reverse transcription. Complementary DNA was amplified, and libraries were prepared for sequencing on NovaSeq 6000 using S4 flow cell (100k reads per cell). FASTQ files were processed using CellRanger pipeline (10X Genomics). Outputs from the CellRanger pipeline were analysed using the Seurat package (v4.9.9.9049) in R (v4.2.0). Processed data is provided as a Seurat object.

  Study EGAS50000000880

• GCAT| ICD Disease Diagnoses

  Disease diagnoses of GCAT Cohort participants obtained from electronic health records (EHR), mainly including the time period from 2012 to 2017. Disease diagnoses are codified in ICD-9, and the position of diagnosis refers to primary/secondary diagnoses (up to 14 secondary diagnoses per visit). The date and origin of the visit are also specified (AP: primary care, UGR: emergency, AH: hospital care, SMA: outpatient medical service, SMH: hospital medical service).

  Dataset EGAD00001007731

• Transcriptomic Profile of Colorectal Cancer Samples

  Samples encompass primary colorectal tumors or metastasis of 75 patients, collected by Medical Pathologists from surgically removed specimens. Tissues were embedded in optimal cutting temperature (OCT) medium, snapshot frozen in liquid nitrogen within 40 minutes of collection and preserved at -80ºC. Samples were collected between June 2010 and October 2017 as part of a prospective biobanking project.

  Dataset EGAD00001009506

• RNA-sequencing of six Pilocytic astrocytoma tumors

  Total stranded TruSeq RNA sequencing by Illumina of six tumor samples from six cases of pediatric Pilocytic astrocytoma. The data is published in the following paper: Tomic TT, Olausson J, Wilzen A, Sabel M, Truve K, Sjogren H, Dosa S, Tisell M, Lannering B, Enlund F, Martinsson T, Aman P, Abel F. A new GTF2I-BRAF fusion mediating MAPK pathway activation in pilocytic astrocytoma. PLoS One. 2017 Apr 27;12(4):e0175638.

  Dataset EGAD00001003143

• The molecular landscape of colorectal cancer reveals genetic mutations - COCA-CN

  We collected tumor samples and adjacent nomal mucosae from 46 patients with colorectal cancer in surgical operation from 2014 to 2016 in the First Affiliated Hospital of Chongqing Medical University (Chongqing, China) and the Research Institute of Surgery, Third Military Medical University (Chongqing, China). the qualified captured library of each sample was then loaded on Illumina HiSeq 2000 (Illumina, San Diego, CA) platforms and subjected to high-throughput sequencing.

  Dataset EGAD00001003304

• The molecular landscape of colorectal cancer reveals genetic mutations（17 cases）

  We collected tumor samples and adjacent nomal mucosae from 17 patients with colorectal cancer in surgical operation from 2014 to 2016 in the First Affiliated Hospital of Chongqing Medical University (Chongqing, China) and the Research Institute of Surgery, Third Military Medical University (Chongqing, China). the qualified captured library of each sample was then loaded on Illumina HiSeq 2000 (Illumina, San Diego, CA) platforms and subjected to high-throughput sequencing.

  Dataset EGAD00001003224

• The molecular landscape of colorectal cancer reveals genetic mutations（5 cases）

  We collected tumor samples and adjacent nomal mucosae from 5 patients with colorectal cancer in surgical operation from 2014 to 2016 in the First Affiliated Hospital of Chongqing Medical University (Chongqing, China) and the Research Institute of Surgery, Third Military Medical University (Chongqing, China). the qualified captured library of each sample was then loaded on Illumina HiSeq 2000 (Illumina, San Diego, CA) platforms and subjected to high-throughput sequencing.

  Dataset EGAD00001003223

• Single-cell TCRalpha-beta sequencing of persisting human intestinal CD8 Trm clonotypes

  Single-cell TCRalpha-beta sequencing of LP CD103+ CD8 T cells from the grafted/native duodenum of two donors (Ptx#1 and Ptx#2) before and 1 year after transplantation. Single cells were sorted into 96-well plates. Paired TCRalpha and TCRbeta sequences were obtained after three nested PCR with multiplexed primers covering all TCRalpha and TCRbeta V genes, as described before (Risnes et al., 2018), and original protocol in (Han et al., 2014).

  Dataset EGAD00001005050